AI Engineer - David Joseph & Company

DeepScribe — AI Engineer

Type: Full-time | Remote (US) — Bay Area residents encouraged to work from SF office | San Francisco, CA (preferred) Compensation: $150K – $250K + competitive equity Hiring count: 2 Visa sponsorship: No — TN available, no H-1B Reports to: Misha Bosin, Engineering Manager

About DeepScribe

DeepScribe is building AI agents to automate and transform clinical workflows — beyond note-taking, it positions itself as the "operating system for healthcare," embedding AI into the workflows of overburdened clinicians across clinical trial matching, billing, and ambient documentation. Powered by the largest clinical dataset in healthcare, its AI scribe ambiently captures patient visits and writes complete, billable documentation directly inside the clinician's EHR. The company is Series B with an oncology focus, and reports its platform reaching roughly 40% of U.S. patients.

Founded: 2017 | Team size: 60 | Total funding: $61M (raised over $60M from top-tier investors including Index Ventures, plus angels Alexandr Wang (fmr CEO of Scale AI) and Dylan Field (CEO of Figma))Industry: Healthcare, AIWebsite: deepscribe.aiOffice: San Francisco, California, United States

Trusted by major healthcare organizations including The US Oncology Network (the nation's largest oncology network) and Ochsner Health (the largest healthcare system on the Gulf Coast).

Why Candidates Should Join

• End-to-end ownership: Own new AI workflows from prototype to production — LLM-powered apps, ambient copilots, billing automation, clinical trial matching.
• Real scale, real users: Improve an LLM-powered documentation platform used daily by thousands of clinicians.
• Strong backing: $61M raised, Index Ventures, and angels Alexandr Wang and Dylan Field behind the company.
• Genuine impact: Reduce clinician burnout and improve patient care, with adoption at the largest oncology network in the country.

Intake Call Summary

• Series B startup founded in 2017, oncology focus, ~40% of U.S. patients on the platform.
• Values speed in development and impact; central mission is reducing healthcare burnout and improving outcomes.
• Hiring AI Engineers focused on NLP and audio processing; core product blends text and speech technologies.
• Role is full-stack — deploy solutions quickly and work across the entire stack.
• Targeting mid to senior candidates with flexibility for exceptional candidates (see Scoring Notes for the governing experience band).
• Must-have skills: Python, TypeScript, and a strong understanding of ML/AI technologies.
• Nice-to-haves: speech recognition, EHR systems, HIPAA-compliant data handling.
• Salary $150K–$250K depending on location and level; remote within the U.S., HQ in San Francisco.
• Interview process: EM screen, technical coding challenge, AI